BSI – 11/05/2025

A Large Language Model (LLM) for businesses is an AI system trained on massive text datasets to understand and generate human-like language. These models can be adapted or fine-tuned for various enterprise use cases, delivering automation, insight, and efficiency across different functions. To operate the business efficiently and precisely, LLM is the superpower to be engaged.

1. Chatbots & Virtual Assistants: Chatbots can be developed for 24/7 support with natural conversation capabilities.
2. Ticket Triage: Ticket triage is the process of automatically analyzing, categorizing, prioritizing, and routing incoming support tickets (emails, chats, web forms) to the right team or agent. NLP (Natural Language Processing) automatically routes, tags, and prioritizes support tickets.
3. Content Generation & Marketing: LLM can generate tailored messaging based on customer segments or behavior. Analysing customers’ behavioural patterns and demographics, LLM will generate texts to reach out through promotional channels.

4. Knowledge Management & Internal Tools: Document Search (RAG systems) combines an LLM with a search system that retrieves relevant documents to ground the model’s response. Instead of relying on memory alone, the model “looks up” real documents to answer user questions accurately.

5. Employee Assistants: LLMs serve as internal AI assistants for employees by answering HR policy questions, helping with onboarding, providing IT troubleshooting tips, surfacing documents, forms, or company rules, and helping with onboarding, HR policies or IT support.

6. Narrative Reports: Narrative reports are plain-language summaries generated from structured data that explain what happened (trends, insights), why it happened (drivers), and what to do next (recommendations). It turns spreadsheets into readable summaries.

7. Natural Language Querying: Here’s how Natural Language Querying (NLQ) works using a Large Language Model (LLM)—one of the most powerful ways to let non-technical users interact with data. NLQ allows users to ask plain-English questions (or in any supported language). The system then translates that question into a structured query (e.g., SQL), executes it on a database, and returns an interpreted result.

We at Business Software India analyze your company’s best requirements to generate the best ROI. Our Large Language Models generate Data-Driven Strategy Formulation, Investment Thesis Validation, Client-specific knowledge bots for instant insights, and Client-approved LLM sandbox.